MATH 231
Spring 2016 not offered

Certificates: Applied Data Science 
In this course you will learn the basic theory of probability. Although the notions are simple and the mathematics involved only requires a basic knowledge of the ideas of differential and integral calculus, a certain degree of mathematical maturity is necessary. The fundamental concepts to be studied are probability spaces and random variables, the most important ideas being conditional probability and independence. The main theorems we shall study are the law of large numbers and the central limit theorem. 
Credit: 1 
Gen Ed Area Dept:
NSM MATH 
Course Format: Lecture / Discussion  Grading Mode: Graded 
Level: UGRD 
Prerequisites: MATH222 

Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATAMN)(IDEAMN)(MATH)(MB&B)(NS&B) 
Major Readings:
Durrett, Richard. ELEMENTARY PROBABILITY FOR APPLICATIONS, ISBN: 9780521867566

Examinations and Assignments: TBA 
Additional Requirements and/or Comments: Students should have a good knowledge of singlevariable calculus. 
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